An integrated model system to gain mechanistic insights into biofilm-associated antimicrobial resistance in Pseudomonas aeruginosa MPAO1.
An integrated model system to gain mechanistic insights into biofilm-associated antimicrobial resistance in Pseudomonas aeruginosa MPAO1.
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DOI：
10.1038/s41522-020-00154-8
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发表时间：
2020-10-30
影响因子：
9.2
通讯作者：
Ahrens CH
中科院分区：
文献类型：
--
作者：
Varadarajan AR;Allan RN;Valentin JDP;Castañeda Ocampo OE;Somerville V;Pietsch F;Buhmann MT;West J;Skipp PJ;van der Mei HC;Ren Q;Schreiber F;Webb JS;Ahrens CH
Pseudomonas aeruginosa MPAO1 is the parental strain of the widely utilized transposon mutant collection for this important clinical pathogen. Here, we validate a model system to identify genes involved in biofilm growth and biofilm-associated antibiotic resistance. Our model employs a genomics-driven workflow to assemble the complete MPAO1 genome, identify unique and conserved genes by comparative genomics with the PAO1 reference strain and genes missed within existing assemblies by proteogenomics. Among over 200 unique MPAO1 genes, we identified six general essential genes that were overlooked when mapping public Tn-seq data sets against PAO1, including an antitoxin. Genomic data were integrated with phenotypic data from an experimental workflow using a user-friendly, soft lithography-based microfluidic flow chamber for biofilm growth and a screen with the Tn-mutant library in microtiter plates. The screen identified hitherto unknown genes involved in biofilm growth and antibiotic resistance. Experiments conducted with the flow chamber across three laboratories delivered reproducible data on P. aeruginosa biofilms and validated the function of both known genes and genes identified in the Tn-mutant screens. Differential protein abundance data from planktonic cells versus biofilm confirmed the upregulation of candidates known to affect biofilm formation, of structural and secreted proteins of type VI secretion systems, and provided proteogenomic evidence for some missed MPAO1 genes. This integrated, broadly applicable model promises to improve the mechanistic understanding of biofilm formation, antimicrobial tolerance, and resistance evolution in biofilms.
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影响因子：
3.7
作者：
Conibear TC;Collins SL;Webb JS
通讯作者：
Webb JS
影响因子：
9.2
作者：
Cheng, Yingying;Yam, Joey Kuok Hoong;Yang, Liang
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通讯作者：
Bartlett, John
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Bankevich, Anton;Nurk, Sergey;Pevzner, Pavel A.
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